test device raw Default string Default string
Geekbench AI Score
744
Single Precision Score
721
Half Precision Score
1489
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | paulwalsh19 |
| Upload Date | April 28 2025 12:34 AM |
| Views | 6 |
| Notes | N150 @ 24W 800-3600MHz 14W to GPU 192@1000MHz 16GB RAM DDR4@3200Mhz |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) N150 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
448
83.3 IPS |
|
|
Image Classification (HP)
|
100% |
423
78.6 IPS |
|
|
Image Classification (Q)
|
100% |
892
165.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
515
8.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
502
8.13 IPS |
|
|
Image Segmentation (Q)
|
99% |
995
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
764
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
850
0.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
2188
2.56 IPS |
|
|
Object Detection (SP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
472
37.4 IPS |
|
|
Object Detection (Q)
|
88% |
1034
82.8 IPS |
|
|
Face Detection (SP)
|
100% |
1253
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1067
12.7 IPS |
|
|
Face Detection (Q)
|
100% |
2671
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1220
9.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
1022
7.87 IPS |
|
|
Depth Estimation (Q)
|
89% |
2754
21.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2545
3.27 IPS |
|
|
Style Transfer (HP)
|
100% |
2642
3.40 IPS |
|
|
Style Transfer (Q)
|
98% |
6534
8.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
565
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1042
38.6 IPS |
|
|
Text Classification (SP)
|
100% |
388
517.6 IPS |
|
|
Text Classification (HP)
|
100% |
387
516.9 IPS |
|
|
Text Classification (Q)
|
92% |
643
863.4 IPS |
|
|
Machine Translation (SP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (Q)
|
100% |
831
14.3 IPS |
